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Designing Multi-User MIMO for Energy Efficiency: When is Massive MIMO the Answer?

机译:为提高能效而设计多用户MIMO:大规模MIMO何时成为答案?

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摘要

Assume that a multi-user multiple-input multiple- output (MIMO) communication system must be designed to cover a given area with maximal energy efficiency (bits/Joule). What are the optimal values for the number of antennas, active users, and transmit power? By using a new model that describes how these three parameters affect the total energy efficiency of the system, this work provides closed-form expressions for their optimal values and interactions. In sharp contrast to common belief, the transmit power is found to increase (not decrease) with the number of antennas. This implies that energy efficient systems can operate at high signal-to-noise ratio (SNR) regimes in which the use of interference-suppressing precoding schemes is essential. Numerical results show that the maximal energy efficiency is achieved by a massive MIMO setup wherein hundreds of antennas are deployed to serve a relatively many users under the assumption that regularized zero-forcing precoding is used.
机译:假定必须将多用户多输入多输出(MIMO)通信系统设计为以最大能量效率(位/焦耳)覆盖给定区域。天线数量,活跃用户和发射功率的最佳值是多少?通过使用描述这三个参数如何影响系统总能效的新模型,这项工作为它们的最佳值和相互作用提供了封闭形式的表达式。与普遍的看法形成鲜明对比的是,发现发射功率随天线数量的增加而增加(而不是减少)。这意味着高能效系统可以在高信噪比(SNR)方案下运行,在这些方案中,必须使用抑制干扰的预编码方案。数值结果表明,最大的能量效率是通过大规模MIMO设置实现的,其中在使用正则化零强制预编码的假设下,部署了数百根天线为相对多的用户提供服务。

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